Systematic Literature Review on User Experience Research of Somatosensory Games for the Elderly
DOI:
https://doi.org/10.37134/jictie.vol11.2.5.2024Keywords:
somatosensory games, elderly people, user experienceAbstract
This study aims to investigate the satisfaction levels of the elderly concerning their physical well-being and sociocultural entertainment needs, with a particular focus on engagement in sensor-based gaming. The objective is to systematically synthesise and evaluate empirical research findings regarding the factors influencing accessibility and enthusiasm for sensor-based gaming among older adults. Employing the PRISMA methodology, a comprehensive review was conducted, resulting in the identification of 43 English-language scholarly sources from the Web of Science, Scopus, and IEEE Xplore, covering the period from 2019 to 2024. The findings reveal that critical determinants affecting elderly engagement in sensor-based gaming include physical activity levels, cognitive capabilities, game incentive mechanisms, cooperative-competitive dynamics, personalised feature design, group participation, and gaming frequency. These insights contribute significantly to the discourse on utilizing exergames to enhance the physical and psychological well-being of the ageing population, providing valuable implications for researchers and policymakers aiming to address the challenges associated with an ageing demographic.
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Anders, P., Bengtson, E. I., Grønvik, K. B., Skjæret-Maroni, N., & Vereijken, B. (2020). Balance training in older adults using exergames: Game speed and cognitive elements affect how seniors play. Frontiers in Sports and Active Living, 2. https://doi.org/10.3389/fspor.2020.00054
Bar-Tur, L. (2021). Fostering Well-Being in the Elderly: Translating Theories on Positive Aging to Practical Approaches. Frontiers in Medicine, 8. https://doi.org/10.3389/fmed.2021.517226
Campo-Prieto, P., Cancela-Carral, J. M., Alsina-Rey, B., & Rodríguez-Fuentes, G. (2022). Immersive virtual reality as a novel physical therapy approach for nonagenarians: Usability and effects on balance outcomes of a game-based exercise program. Journal of Clinical Medicine, 11(13), 3911. https://doi.org/10.3390/jcm11133911
Campo-Prieto, P., Cancela-Carral, J. M., & Rodríguez-Fuentes, G. (2022). Feasibility and effects of an immersive virtual reality exergame program on physical functions in institutionalized older adults: A randomized clinical trial. Sensors, 22(18), 6742. https://doi.org/10.3390/s22186742
Chan, G., Arya, A., Orji, R., & Zhao, Z. (2019). Motivational strategies and approaches for single and multi-player exergames: A social perspective. PeerJ Computer Science, 5, e230. https://doi.org/10.7717/peerj-cs.230
Chang, C.-H., Liu, K.-H., Kajihara, H., Lien, W.-C., Chen, P.-T., Hiyama, A., Lin, Y.-C., Chen, C.-H., & Inami, M. (2021). Designing a somatosensory interactive game of lower extremity muscle rehabilitation for the elderly. In Q. Gao & J. Zhou (Eds.), Human aspects of IT for the aged population. Supporting everyday life activities. HCII 2021. Lecture Notes in Computer Science (Vol. 12787). Springer, Cham. https://doi.org/10.1007/978-3-030-78111-8_2
Chang, C.-H., Yeh, C.-H., Chang, C.-C., & Lin, Y.-C. (2022). Interactive somatosensory games in rehabilitation training for older adults with mild cognitive impairment: Usability study. JMIR Serious Games, 10(3), e38465. https://doi.org/10.2196/38465
Chang, I.-C., & Yen, C.-E. (2023). Application of somatosensory computer game for nutrition education in preschool children. Computers, 12(1), 20. https://doi.org/10.3390/computers12010020
Chen, D.-R., Chen, Y.-M., & Tseng, W. T. (2019). Using somatosensory games to improve health and social engagement of Taiwanese older adults in a community. Innovation in Aging, 3(Supplement_1), S921–S922. https://doi.org/10.1093/geroni/igz038.3357
Chu, C. H., Biss, R. K., Cooper, L., Quan, A. M. L., & Matulis, H. (2021). Exergaming platform for older adults residing in long-term care homes: User-centered design, development, and usability study. JMIR Serious Games, 9(1), e22370. https://doi.org/10.2196/22370
Corbo, I., Forte, G., Favieri, F., & Casagrande, M. (2023). Poor sleep quality in aging: The association with mental health. International Journal of Environmental Research and Public Health, 20(3), 1661. https://doi.org/10.3390/ijerph20031661
Da Silva Júnior, J. L. A., Biduski, D., Bellei, E. A., Becker, O. H. C., Daroit, L., Pasqualotti, A., Tourinho Filho, H., & De Marchi, A. C. B. (2021). A bowling exergame to improve functional capacity in older adults: Co-design, development, and testing to compare the progress of playing alone versus playing with peers. JMIR Serious Games, 9(1), e23423. https://doi.org/10.2196/23423
Ding, Y., Han, T., Liu, C., Zhang, Y., & Zhao, S. (2022). Analysis of the influencing factors of the elderly user’s somatosensory game themes preferences – Based on the DEMATEL method. In Q. Gao & J. Zhou (Eds.), Human aspects of IT for the aged population. Technology in everyday living. HCII 2022. Lecture Notes in Computer Science (Vol. 13331). Springer, Cham. https://doi.org/10.1007/978-3-031-05654-3_15
Fan, M., Tibdewal, V., Zhao, Q., Cao, L., Peng, C., Shu, R., & Shan, Y. (2022). Older adults’ concurrent and retrospective think-aloud verbalizations for identifying user experience problems of VR games. Interacting with Computers, 34(4), 99–115. https://doi.org/10.1093/iwc/iwac039
Gao, P. (2022). Key technologies of human-computer interaction for immersive somatosensory interactive games using VR technology. Soft Computing, 26(20), 10947–10956. https://doi.org/10.1007/s00500-022-07240-3
Goumopoulos, C., Drakakis, E., & Gklavakis, D. (2022). Augmented and virtual reality-based exergames in GAME2AWE for elderly fall prevention. International Conference on Wireless and Mobile Computing, Networking and Communications, 2022-October, 100–105. https://doi.org/10.1109/WiMob55322.2022.9941651
Goumopoulos, C., Drakakis, E., & Gklavakis, D. (2023). Feasibility and acceptance of augmented and virtual reality exergames to train motor and cognitive skills of elderly. Computers, 12(3). https://doi.org/10.3390/computers12030052
Havukainen, M., Laine, T. H., Martikainen, T., & Sutinen, E. (2020). A case study on co-designing digital games with older adults and children: Game elements, assets, and challenges. The Computer Games Journal, 9(2), 163–188. https://doi.org/10.1007/s40869-020-00100-w
Høeg, E. R., Bruun-Pedersen, J. R., Cheary, S., Andersen, L. K., Paisa, R., Serafin, S., & Lange, B. (2023). Buddy biking: A user study on social collaboration in a virtual reality exergame for rehabilitation. Virtual Reality, 27(1), 245–262. https://doi.org/10.1007/s10055-021-00544-z
Ingold, M., Tulliani, N., Chan, C. C. H., & Liu, K. P. Y. (2020). Cognitive function of older adults engaging in physical activity. BMC Geriatrics, 20(1), 229. https://doi.org/10.1186/s12877-020-01620-w
Kappen, D. L., Mirza-Babaei, P., & Nacke, L. E. (2019). Older adults’ physical activity and exergames: A systematic review. International Journal of Human–Computer Interaction, 35(2), 140–167. https://doi.org/10.1080/10447318.2018.1441253
Koivisto, J., & Malik, A. (2021). Gamification for older adults: A systematic literature review. The Gerontologist, 61(7), e360–e372. https://doi.org/10.1093/geront/gnaa047
Kojić, T., Spang, R., Vergari, M., Meier, L., Möller, S., & Voigt-Antons, J.-N. (2023). Effects of user factors on user experience in virtual reality: age, gender, and VR experience as influencing factors for VR exergames. Quality and User Experience, 8(1), 3. https://doi.org/10.1007/s41233-023-00056-5
Lau, S.-Y. J., & Agius, H. (2021). A framework and immersive serious game for mild cognitive impairment. Multimedia Tools and Applications, 80(20), 31183–31237. https://doi.org/10.1007/s11042-021-11042-4
Li, W., & Chen, Y. (2023). Research on the design of serious games for the elderly cognitive training based on augmented reality. In Q. Gao & J. Zhou (Eds.), Human aspects of IT for the aged population. HCII 2023. Lecture Notes in Computer Science (Vol. 14042). Springer, Cham. https://doi.org/10.1007/978-3-031-34866-2_32
Liu, Y.-H., Liu, J. C., Lin, M.-T., & Chen, W.-C. (2020). Participation of senior citizens in somatosensory games: a correlation between the willingness to exercise and happiness. Journal of Ambient Intelligence and Humanized Computing. https://doi.org/10.1007/s12652-020-01918-y
Manser, P., & de Bruin, E. D. (2021). Making the best out of IT: Design and development of exergames for older adults with mild neurocognitive disorder – A methodological paper. Frontiers in Aging Neuroscience, 13. https://doi.org/10.3389/fnagi.2021.734012
Manser, P., Poikonen, H., & de Bruin, E. D. (2023). Feasibility, usability, and acceptance of “Brain-IT”—A newly developed exergame-based training concept for the secondary prevention of mild neurocognitive disorder: a pilot randomized controlled trial. Frontiers in Aging Neuroscience, 15. https://doi.org/10.3389/fnagi.2023.1163388
Merilampi, S., Mulholland, K., Ihanakangas, V., Ojala, J., Valo, P., & Virkki, J. (2019). A smart chair physiotherapy exergame for fall prevention – User experience study. 2019 IEEE 7th International Conference on Serious Games and Applications for Health (SeGAH), 1–5. https://doi.org/10.1109/SeGAH.2019.8882482
Mohamed Shaffril, H. A., Samsuddin, S. F., & Abu Samah, A. (2021). The ABC of systematic literature review: The basic methodological guidance for beginners. Quality and Quantity, 55(4), 1319–1346. https://doi.org/10.1007/s11135-020-01059-6
Mustafa, W. A., Alias, N. A., Jamlos, M. A., Ismail, S., & Alquran, H. (2022). A recent systematic review of cervical cancer diagnosis: Detection and classification. Journal of Advanced Research in Applied Sciences and Engineering Technology, 28(1), 81–96. https://doi.org/10.37934/araset.28.1.8196
Pirbabaei, E., Amiri, Z., Sekhavat, Y. A., & Goljaryan, S. (2023). Exergames for hand rehabilitation in elders using Leap Motion Controller: A feasibility pilot study. International Journal of Human-Computer Studies, 103099. https://doi.org/10.1016/j.ijhcs.2023.103099
Quigley, A., MacKay-Lyons, M., & Eskes, G. (2020). Effects of exercise on cognitive performance in older adults: A narrative review of the evidence, possible biological mechanisms, and recommendations for exercise prescription. Journal of Aging Research, 2020, 1–15. https://doi.org/10.1155/2020/1407896
Ramsayer, N., Philippe, M., Marco De Nunzio, A., & Johannsson, J. (2023). Acceptation et perception de satisfaction des jeux d’exercice pour prévenir les risques de chute chez les personnes âgées. Kinésithérapie, La Revue, 23(258), 11–19. https://doi.org/10.1016/j.kine.2022.10.003
Rebsamen, S., Knols, R. H., Pfister, P. B., & de Bruin, E. D. (2019). Exergame-driven high-intensity interval training in untrained community-dwelling older adults: A formative one-group quasi-experimental feasibility trial. Frontiers in Physiology, 10. https://doi.org/10.3389/fphys.2019.01019
Ringgenberg, N., Mildner, S., Hapig, M., Hermann, S., Kruszewski, K., Martin-Niedecken, A. L., Rogers, K., Schättin, A., Behrendt, F., Böckler, S., Schmidlin, S., Jurt, R., Niedecken, S., Brenneis, C., Bonati, L. H., Schuster-Amft, C., & Seebacher, B. (2022). ExerG: Adapting an exergame training solution to the needs of older adults using focus group and expert interviews. Journal of NeuroEngineering and Rehabilitation, 19(1). https://doi.org/10.1186/s12984-022-01063-x
Rüth, M., & Kaspar, K. (2021). Educational and social exergaming: A perspective on physical, social, and educational benefits and pitfalls of exergaming at home during the COVID-19 pandemic and afterwards. Frontiers in Psychology, 12. https://doi.org/10.3389/fpsyg.2021.644036
Sápi, M., Fehér-Kiss, A., Csernák, K., Domján, A., & Pintér, S. (2021). The effects of exergaming on sensory reweighting and mediolateral stability of women aged over 60: Usability study. JMIR Serious Games, 9(3), e27884. https://doi.org/10.2196/27884
Sayago, S., Rosales, A., Righi, V., Ferreira, S. M., Coleman, G. W., & Blat, J. (2019). Digital games and older people from a theoretical and conceptual perspective: A critical literature review. In B. Neves & F. Vetere (Eds.), Ageing and digital technology. Springer, Singapore. https://doi.org/10.1007/978-981-13-3693-5_6
Seinsche, J., de Bruin, E. D., Carpinella, I., Ferrarin, M., Moza, S., Rizzo, F., Salatino, C., & Giannouli, E. (2023). Older adults’ needs and requirements for a comprehensive exergame-based telerehabilitation system: A focus group study. Frontiers in Public Health, 10. https://doi.org/10.3389/fpubh.2022.1076149
Shah, S. H. H., Hameed, I. A., Karlsen, A. S. T., & Solberg, M. (2022). Towards a social VR-based exergame for elderly users: An exploratory study of acceptance, experiences, and design principles. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13317 LNCS, 495–504. https://doi.org/10.1007/978-3-031-05939-1_34
Shah, S. H. H., Karlsen, A. S. T., Solberg, M., & Hameed, I. A. (2022). A social VR-based collaborative exergame for rehabilitation: Co-design, development, and user study. Virtual Reality, 27, 3403–3420. https://doi.org/10.1007/s10055-022-00721-8
Singh, J. (2013). Critical appraisal skills programme. Journal of Pharmacology and Pharmacotherapeutics, 4(1), 76–77. https://doi.org/10.4103/0976-500X.107697
Svanæs, D., Scharvet Lyngby, A., Bärnhold, M., Røsand, T., & Subramanian, S. (2021). UNITY-Things: An internet-of-things software framework integrating Arduino-enabled remote devices with the UNITY game engine. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12789 LNCS, 378–388. https://doi.org/10.1007/978-3-030-77277-2_29
Tuena, C., Pedroli, E., Trimarchi, P. D., Gallucci, A., Chiappini, M., Goulene, K., Gaggioli, A., Riva, G., Lattanzio, F., Giunco, F., & Stramba-Badiale, M. (2020). Usability issues of clinical and research applications of virtual reality in older people: A systematic review. Frontiers in Human Neuroscience, 14. https://doi.org/10.3389/fnhum.2020.00093
Wan, F. K. W., Mak, A. T. H., Chung, C. W. Y., & Yip, J. Y. W. (2024). Development of a motion-based video game for postural training: A feasibility study on older adults with adult degenerative scoliosis. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 32, 2106–2113. https://doi.org/10.1109/TNSRE.2024.3398029
Wang, Y., Huang, Y., Xu, J., & Bao, D. (2021). Interaction preference differences between elderly and younger exergame users. International Journal of Environmental Research and Public Health, 18(23). https://doi.org/10.3390/ijerph182312583
Wang, Y.-H. (2024). Understanding senior adults’ needs, preferences, and experiences of commercial exergames for health: Usability study. JMIR Serious Games, 12, e36154. https://doi.org/10.2196/36154
World Health Organization. (2022, October 1). Ageing and health. https://www.who.int/news-room/fact-sheets/detail/ageing-and-health
Xiao, Y., & Watson, M. (2019). Guidance on conducting a systematic literature review. Journal of Planning Education and Research, 39(1), 93–112. https://doi.org/10.1177/0739456X17723971
Yuan, J., Wang, Y., & Liu, Z. (2022). Chronic disease and depression among the elderly in China: The mediating role of instrumental activities of daily living and the moderating role of area of residence. Current Psychology, 42, 27186–27193. https://doi.org/10.1007/s12144-022-03782-9
Zenebe, Y., Akele, B., W/Selassie, M., & Necho, M. (2021). Prevalence and determinants of depression among old age: A systematic review and meta-analysis. Annals of General Psychiatry, 20(1), 55. https://doi.org/10.1186/s12991-021-00375-x
Zhang, H., Shen, Z., Liu, S., Yuan, D., & Miao, C. (2021). Ping Pong: An exergame for cognitive inhibition training. International Journal of Human–Computer Interaction, 37(12), 1104–1115. https://doi.org/10.1080/10447318.2020.1870826
Zhang, Y., Han, T., Ding, Y., & Zhao, S. (2022). Design of somatosensory interactive balance training exergame for the elderly based on Tai Chi. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13331 LNCS, 305–319. https://doi.org/10.1007/978-3-031-05654-3_21
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